An iterative conjugate gradient algorithm is used in all cases.
同时，还可使用迭代的预条件双共轭梯度算法进行计算。
In this paper, a simple gradient algorithm of ICA is developed using minimum mutual information.
本文基于互信息极小提出了ICA的梯度算法。
However, the performance of variable step-size natural gradient algorithm is still less than ideal.
然而，变步长自然梯度算法性能仍然不够理想。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
梯度下降法与混沌优化法均具有各自的缺点。
This paper describes the basic theory of blind source separation and natural gradient algorithm in detail.
本文在介绍了盲源分离的基础理论的基础上，对自然梯度算法进行了详细的介绍。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
提出一种交替梯度算法，对径向基函数(RBF)神经网络的训练进行改进。
In the algorithm, the phase gradient algorithm (PGA) was performed, and the signals of multiple scatters on a few range bins were utilized.
该算法采用了相位梯度算法(PGA)的处理结构，利用了多个距离单元上的散射点信号。
If the scatter selected in phase gradient algorithm(PGA) algorithm is not isolated, the accuracy of the phase error estimation will be degraded.
当相位梯度算法挑选的散射点不是孤立散射点时，导致相位误差估计的准确性下降。
We apply the popular trust region algorithm and truncated conjugate gradient algorithm with trust region skills to solve trust region subproblems.
应用目前流行的信赖域算法，并用带有信赖域技巧的截断共扼梯度法来解信赖域子问题。
The restored image obtained by using the space domain conjugate gradient algorithm is too smooth and loses some information about the edge detail.
基于空间域共轭梯度算法的盲目图像复原方法由于在复原过程中追求了充分平滑，使得复原图像中的边缘细节信息有所损失。
An adaptive conjugate gradient algorithm based on subband decompsition structure was proposed for acoustic echo cancellation in communication systems.
针对通信系统中的声学回声干扰问题，研究了一种快速收敛和有效的自适应回声抵消算法。
Based on gradient algorithm and the fundamental approximation of feedforward network, a new supervised comprehensive training mechanism is put forward.
基于梯度算法和前馈网络所具有的普遍近似性质，提出了一种新的监督型多目标系统化训练机制。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
Moreover, an improved conjugate gradient algorithm is used to train the network and to overcome the shortcoming of easily trapping into local minimum points.
网络训练时采用共轭梯度学习算法并对此算法进行了改进，有效的克服了梯度学习算法容易陷入局部极小的缺点。
In the natural gradient algorithm, the convergence speed and stability error are two important indicators, but these two indicators are of inherent contradictions.
自然梯度算法有收敛速度和稳定误差两个重要指标，然而这两个指标存在内在的矛盾。
Concerned with the training process and accuracy, the LM algorithm is superior to conjugate gradient algorithm and a variable learning rate back propagation (BP) algorithm.
就训练次数与精确度而言，它明显优于共轭梯度法及变学习率的BP算法，适用于系统辨识。
Variable step-size natural gradient algorithm which enjoys faster convergence speed and smaller stability error is proposed to solve the shortcoming of natural gradient algorithm.
为了解决自然梯度算法的这个缺点，人们提出了变步长自然梯度算法，既可以获得较快的收敛速度，又可以减小稳定误差。
An efficient and practical stochastic gradient algorithm for calculating structural reliability index is presented in this paper on basis of geometrical principle of reliability index.
提出了一种基于几何原理求解结构可靠指标的高效实用算法，即随机梯度算法。
Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography.
针对闪光照相系统成像信噪比低的特点，提出了正则化预优约束共轭梯度算法(RPCCG)。
Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm, a conjugate gradient algorithm with optimized regularization is proposed.
在分析电容层析成像基本原理和图像重建算法的基础上，提出一种结合正则化优化修正的共轭梯度算法。
The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.
本文分析了梯度辨识算法跟踪时变系统的缺点，提出了一种新的基于局部多项式逼近的变参数梯度估计算法。
Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
基于信号在不同尺度下小波变换系数模不同的变化特征，结合最优梯度估计算法提出了一种边缘检测方法。
The gradient algorithm was adopted to calculate the required control force to suppress the rotor's instantaneous response coming from the parameter variance in the stiffness varying control of rotor.
为了解决转子变刚度控制中因参数变化导致瞬态响应问题，采用梯度算法，计算出抑制转子瞬态响应所需的控制力。
We use gradient algorithm to enhance cell borders in improving the edge detection algorithm. We achieve a better result through application adaptation threshold algorithm and mathematical morphology.
在改进的边缘检测算法中，本文运用梯度算法对图像进行边缘增强，然后应用最佳阈值算法与形态学方法，取得较好的分割效果。
The BP network architecture applied to determine GPS standalone position is designed. Meanwhile, the conjugate gradient algorithm is used to improve the training velocity and accuracy of the network.
本研究设计了适用于GPS单点定位计算的BP人工神经网络模型结构，采用共轭梯度算法改善网络的训练速度和精度。
First, a method to estimate the local image gradient, called the BEG (best estimation of gradient) algorithm was proposed to extract the texture orientation parameters.
首先提出了局部图像的梯度估计方法，称之为BEG(梯度的最佳估计)算法，用来提取图像的纹理方向特征参数。
First, a method to estimate the local image gradient, called the BEG (best estimation of gradient) algorithm was proposed to extract the texture orientation parameters.
首先提出了局部图像的梯度估计方法，称之为BEG(梯度的最佳估计)算法，用来提取图像的纹理方向特征参数。
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